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Microsoft English Query 7.5: Automatic Extraction of Semantics from Relational Databases and OLAP Cubes

Summary: Microsoft English Query 7.5 automatically constructs semantic models for natural-language querying from SQL databases and OLAP cubes via relationship heuristics. XML-based modeling and “Author by Example” learn additional semantics from failed questions, covering 70%+ of relationships. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hc6b5580137b2578d
Venue
VLDB
Year
1999
Pagerank
6.2746229e-05
Overall Rank
5,095 | 65.75%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{blum_vldb99,
        title = {{Microsoft English Query 7.5: Automatic Extraction of Semantics from Relational Databases and OLAP Cubes}},
        author = {Blum, Adam},
        journal = {PVLDB},
        series = {{VLDB} '99},
        pages = {247},
        year = {1999}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
319 Making Database Systems Usable 2007 SIGMOD 0.00021164857
3,421 Ava: From Data to Insights Through Conversation 2017 CIDR 7.3146932e-05
3,913 DataChat: An Intuitive and Collaborative Data Analytics Platform 2023 SIGMOD 6.9295933e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
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